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employment. An employment contract for the duration of 26 months, ending by operation of law after this period. The candidate is expected to start in November 2025. Do you want to become a member of our team
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. The Directorate of Space Transportation is a programme directorate within the ESA matrix structure, whose activities are performed in cooperation with the other ESA directorates and the Director General’s Services
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ca 4000 – 1700 BCE, by analysing archaeological contexts that might point to feasting events, and by performing isotope analysis, in particular on Oxygen and Carbon isotopes, on selected human remains
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and computing, to apply. One position will focus on the scaling, calibration, operation, and tuning of spin qubit arrays using algorithmic techniques, as part of an international project, with
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
Science approaches to data and insight gathering within the PEDs. Alongside producing required project outputs, you will also be expected to publish scientific outputs. This work will include: Performing a
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to test for effects of memory consolidation. The behavioural and fMRI data from this task are waiting to be analysed, as are related sMRI (grey and white matter) data. You will perform these analyses and
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pancreatic construct to counter diabetes. You will perform cutting-edge research that merges synthetic biology strategies, gene editing tools, new ultra-fast light-based volumetric bioprinting technologies
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interfacing technologies, musculoskeletal models and personalized rehabilitation interventions. Your core tasks will include: Performing human measurements involving HD-EMG acquisition from lower-limb muscles
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graduates who originate from a broad variety of academic fields and are aiming for an academic career. Its task is to monitor, perform and foster research on advanced space systems, innovative concepts and
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targeting performance improvement) is finding interest in the academic community and applied developments in industry. Recent studies have indicated interest in a reinforcement learning (RL)-based controller